Maverick: Discovering Exceptional Facts from Knowledge Graphs
Summary: Maverick is a general framework for discovering exceptional facts about entities in knowledge graphs using context-subspace pairs. It uses beam-search over patterns and upper-bound pruning to enumerate subspaces, achieving gains over baselines on real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Gensheng Zhang
- 2. Damian Jimenez
- 3. Chengkai Li
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,363 | Deducing Certain Fixes to Graphs | 2019 | VLDB | 4.5311185e-05 |
| 9,133 | Maverick: A System for Discovering Exceptional Facts from Knowledge Graphs | 2018 | VLDB | 4.3853747e-05 |
| 10,852 | Efficient Top-k Frequent Subgraph Mining Using Tight Upper and Lower Bounds | 2025 | VLDB | 4.1905499e-05 |
| 11,386 | BABOONS: Black-Box Optimization of Data Summaries in Natural Language | 2022 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 62 | Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge | 2008 | SIGMOD | 0.00064239035 |
| 1,095 | GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph | 2014 | VLDB | 0.00014103799 |
| 1,963 | Building an Efficient RDF Store Over a Relational Database | 2013 | SIGMOD | 9.9431532e-05 |
| 3,820 | Promotion Analysis in Multi-Dimensional Space | 2009 | VLDB | 6.7266035e-05 |
| 4,127 | Computational Journalism: A Call to Arms to Database Researchers | 2011 | CIDR | 6.4237059e-05 |
| 7,012 | Mining Subjective Properties on the Web | 2015 | SIGMOD | 4.8580825e-05 |
| 7,089 | Data In, Fact Out: Automated Monitoring of Facts by FactWatcher | 2014 | VLDB | 4.83203e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,362 | Discovering Top-k Rules using Subjective and Objective Criteria | 2023 | SIGMOD | 4.3472627e-05 |
| 11,018 | ZeroEA: A Zero-Training Entity Alignment Framework via Pre-Trained Language Model | 2024 | VLDB | 4.1905499e-05 |
| 9,935 | MAVIS: Materialized View for Subgraph Matching | 2026 | SIGMOD | 4.2456012e-05 |
| 11,675 | NAVIGATE: Explainable Visual Graph Exploration by Examples | 2019 | SIGMOD | 4.1905499e-05 |
| 4,838 | Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers | 2014 | VLDB | 5.883146e-05 |
| 6,016 | X2Q: Your Personal Example-based Graph Explorer | 2018 | VLDB | 5.2365238e-05 |
| 11,690 | PivotE: Revealing and Visualizing the Underlying Entity Structures for Exploration | 2019 | VLDB | 4.1905499e-05 |
| 11,882 | Graph-based Exploration of Non-graph Datasets | 2016 | VLDB | 4.1905499e-05 |
| 3,330 | Schemaless and Structureless Graph Querying | 2014 | VLDB | 7.2116683e-05 |
| 9,133 | Maverick: A System for Discovering Exceptional Facts from Knowledge Graphs | 2018 | VLDB | 4.3853747e-05 |